R Observatory: Metrics for ggdag version 0.2.13

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

ggdag

0.2.13Package record

Analyze and Create Elegant Directed Acyclic Graphs

4packages dependsuggested by 9

114.8Kdownloads / year

57.6%test coverage

13/13flavors OK

Overview

About

Maintained by Malcolm BarrettCRAN page ↗GitHub ↗Website ↗Issues ↗

Tidy, analyze, and plot directed acyclic graphs (DAGs). 'ggdag' is built on top of 'dagitty', an R package that uses the 'DAGitty' web tool (https://dagitty.net/) for creating and analyzing DAGs. 'ggdag' makes it easy to tidy and plot 'dagitty' objects using 'ggplot2' and 'ggraph', as well as common analytic and graphical functions, such as determining adjustment sets and node relationships.

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("ggdag", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("r-causal/ggdag")

Development version from r-causal/ggdag. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-ggdag

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-ggdag

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-ggdag

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 4.9 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-21
ERROR12 OK, 1 ERROR2026-06-20
OK14 OK2026-03-31

Show 4 earlier changesHide 4 earlier changes

ERROR13 OK, 1 ERROR2026-03-30
OK14 OK2026-03-28
ERROR13 OK, 1 ERROR2026-03-25
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.2.13

READMEYes · 157 wordsVignettesYes · 3 · dynamicNEWSYes · 100% structured · mentions 0.2.13Citation fileNoWebsiteYes · pkgdown

Help pages: 50 (3 internal)includes a package overview page
Examples that run: 100%38 run in a plain check
Exported functions with examples: 86%
Documented parameters: 89%
Return-value docs: 63%
Help pages citing references: 0%

Vignettes (3)

An Introduction to Directed Acyclic Graphs HTML
An Introduction to ggdag HTML
Common Structures of Bias HTML

How these are measured

Downloads

114.8K

CRAN downloads in the past year

Rank #1,255 · ~315/day · ~9.6K/mo

Releases R versions

Daily download trend is not available in this view yet.

8.7K30 days

24.5K90 days

114.8K1 year

Compare downloads with other packages →

Also on371 r2u1 autocran1.4K conda_forge160 c2d4u

How downloads are counted

Repository

r-causal/ggdag ↗Organization: r-causal

466Stars

27Forks

17Open issues

1Open PRs

15Releases

722Commits

6Commit identities

rrstatscausal-inferenceggplot-extensiondag

722 commits · Last activity 2026-09-01 · 0% stars, 30d · Default branch at 0.2.13.9000, ahead of CRAN 0.2.13 (checked 2026-10-25)

Responsiveness

How these are sampled

PRs merged (all time): 98%
Median days to close, 50 most recently updated closed issues: 225
Median days to close, 50 most recently updated closed PRs: 0

Stars over time

2025-10-14 · 4512026-08-31 · 466

How these are measured

PracticesBeta

12 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/r-causal/ggdag on 2026-10-25.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Governance and community (1)

Funding

Funding links: GitHub Sponsors, paypal.me

Docs source (4)

README.Rmdpkgdown

GitHub Pages site last deployed 2026-09-01 · The repository has a site deploy workflow

pkgdown site last built 2026-09-01

Coverage (1)

Coverage reporting (Codecov)

Show all practicesHide 1 practice

Lint, format, editor (4)

Lint workflowAirVS CodeRStudio project

How this is detected·Detection ruleset v4 (2026-10-20)

AI coding toolsBeta

This repository shows signs of AI coding tools.

Claude Codefirst seen 2025-08-10
Named in .Rbuildignore: .claude, CLAUDE.md
Named in .gitignore: .claude, CLAUDE.md
GitHub Copilotfirst seen 2025-08-10
Pull request: opened by its own account
Commits: 12 by its own account

Counts are commits, not lines of code. Commits by a tool's accounts count once across all of its accounts. Commits crediting it are the largest count among its credit lines, a minimum.How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies

21 external dependencies (excludes base and recommended)

Installing ggdag adds 51 packages (32 with compiled code, 50 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, igraph 4.8 MB.

Depends (1)

R >= 3.4.0

Imports (14)

dagitty dplyr forcats ggplot2 ggraph (>= 2.0.0)ggrepel igraph magrittr pillar purrr rlang stringr tibble tidygraph

LinkingTo (0)

none

Suggests (7)

covr knitr rmarkdown spelling testthat vdiffr withr

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

4direct

2indirect

Imports 4

Suggested by 9

Show all 13 packagesHide all 13 packages

Depends, Imports or LinkingTo, most downloaded first

episensr simDAG dcmstan causalPAF

Suggests, most downloaded first

performance see modelbased rixpress mvGPS DAGassist epicmodel CLRtools dagwood

How these are counted

Code & Tests

People & History

People (1)

Malcolm Barrett

Author, Maintainer since 0.1.0 (2018)

Releases (15)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
0.2.13Latest
record
2024-07-22 · current release · diff ↗
R
R 4.4.0 released · 2024-04-24
0.2.12
record
2024-03-08 · diff ↗
0.2.11
record
2024-01-24 · diff ↗ ·
added 7 exports
update_dag<-, update_dag_data<-, as_tidy_dagitty, geom_dag_label, pull_dag, pull_dag_data, update_dag
0.2.10
record
2023-05-29 · diff ↗
0.2.9
record
2023-05-22 · diff ↗
R
R 4.3.0 released · 2023-04-21
0.2.8
record
2023-03-17 · diff ↗ ·
added 1 export
time_ordered_coords
0.2.7
record
2022-10-29 · diff ↗
0.2.6
record
2022-08-26 · diff ↗
0.2.5
record
2022-07-16 · diff ↗
R
R 4.2.0 released · 2022-04-22
0.2.4
record
2021-10-10 · diff ↗
R
R 4.1.0 released · 2021-05-18

Show 9 earlier eventsHide 9 earlier events

0.2.3
record
2021-01-12 · diff ↗
R
R 4.0.0 released · 2020-04-24
0.2.2
record
2020-02-13 · diff ↗ ·
removed 1 export
expand_scale
0.2.1
record
2019-12-06 · diff ↗
0.2.0
record
2019-09-12 · diff ↗ ·
added 8 exports
adjust_for, expand_plot, remove_axes, remove_grid, scale_adjusted, theme_dag_gray_grid, theme_dag_grey_grid, theme_dag_grid
R
R 3.6.0 released · 2019-04-26
R
R 3.5.0 released · 2018-04-23
0.1.0
record
2018-03-27
R
R 3.4.0 released · 2017-04-21

Package metadata

First published: 2018-03-27
Total releases: 15 / 8 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 3.4.0
Download size: 1.9 MB

Appears in task views

Causal Inference

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ggdag")

Format

Barrett, M. (2024). ggdag: Analyze and Create Elegant Directed Acyclic Graphs (Version 0.2.13) [Computer software]. https://doi.org/10.32614/CRAN.package.ggdag

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for ggdag version 0.2.13 [Data set]. HJJB, LLC. Data release v2026-10-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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